Scopri la formazione Google Cloud a modo tuo.
Con oltre 980 attività di apprendimento tra cui scegliere, Google Cloud ha progettato il nostro catalogo completo pensando a te. Il catalogo è composto da una varietà di formati di attività tra cui scegliere. Scegli tra piccoli laboratori individuali o corsi multimodulo composti da video, documenti, laboratori e quiz. I nostri laboratori ti forniscono credenziali temporanee per risorse cloud reali, così puoi imparare a utilizzare Google Cloud com'è davvero. Guadagna badge per ciò che completi, definisci, monitora e misura il tuo successo con Google Cloud.
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Lab In primo piano Compare data analytics with BigQuery and Dataproc
Create and import data using parquet files
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Lab In primo piano Secure Devices and Users on ChromeOS
In this lab, you create an OU and learn how to configure security settings.
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Lab In primo piano GKE Autopilot: Qwik Start
GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.
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Lab In primo piano Getting Started with Neo4J Enterprise on Google Cloud
In this lab you will load data from a Google Cloud Storage Bucket to Neo4j then explore the data using the Neo4J browser and Cypher query language
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Lab In primo piano Route Datadog Monitoring Alerts to Google Cloud with Eventarc
In this lab, you will learn how to use the Datadog Monitoring with Google Eventarc.
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Lab In primo piano SingleStore on Google Cloud
Learn how to deploy SingleStore DB, combine it with cloud native products like Pub/Sub, Dataflow and Cloud Storage, and interact with SingleStore once the data is ingested.
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Lab In primo piano Cloud Composer: Qwik Start - Console
In this lab, you create a Cloud Composer environment using the GCP Console. You then use the Airflow web interface to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.
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Lab In primo piano Building and Debugging Cloud Functions for Node.js
In this lab, you will create a Cloud Function for Node.js that reports whether a specified temperature is acceptable or too hot. You will create, test, and debug your Cloud Function using Visual Studio Code on your local machine. Lastly, you'll deploy your function to Google Cloud Platform.
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Lab In primo piano Cloud Run Canary Deployments
Implement a deployment pipeline for Cloud Run that executes a progression of code from developer branches to production with automated canary testing and percentage based traffic management.
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Lab In primo piano Cisco: SD-WAN Cloud Hub with Google Cloud
In this hands-on lab, you will learn how to leverage Google Service Directory and Cisco SD-WAN to optimize the performance of a video streaming application.